# invokeai-mcp-server

> Use this tool when you need to generate, transform, or upscale images using AI, directly within your development environment, to create visual assets like logos, icons, and illustrations. It solves problems of context switching and cloud dependencies, providing a seamless and private workflow integration with InvokeAI. It takes text or image inputs and produces high-resolution images as outputs, ideal for use cases requiring professional-grade image creation and customization.

Canonical page: https://skillsregistry.net/skills/coinstax-invokeai-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/coinstax-invokeai-mcp-server

## Description

AI-powered image generation, transformation, and upscaling for Claude Code using your local InvokeAI instance.

## Overview

The InvokeAI MCP Server bridges Claude Code with InvokeAI, enabling seamless AI-assisted image creation directly
from your development environment. Perfect for generating logos, icons, illustrations, and visual assets without
leaving your workflow.

## Features

### Core Capabilities
- **Text-to-Image Generation** - Create images from natural language descriptions using Stable Diffusion 1.5,
SDXL, and custom models
- **Image-to-Image Transformation** - Refine, modify, or stylize existing images with AI guidance
- **LoRA Model Support** - Apply fine-tuned LoRA models for specialized styles (logos, illustrations, vector art)
- **AI-Powered Upscaling** - Enhance images to 2x-4x resolution using state-of-the-art Spandrel models
- **VAE Override** - Fix incompatible built-in VAEs or optimize with specialized VAE models

### Advanced Features
- **Full SDXL Support** - Automatic detection and configuration for SDXL models with dual CLIP encoders
- **Comprehensive Parameter Control** - Fine-tune with width, height, steps, CFG scale, 14+ schedulers, and seeds
- **Queue Management** - Monitor and track InvokeAI processing status
- **Flexible Model Support** - Compatible with SD 1.5, SDXL, and thousands of community models from Civitai and
HuggingFace

## Prerequisites

- **InvokeAI v4.0+** running locally (default: `http://127.0.0.1:9090`)
- **Hardware**: GPU with 4-12GB VRAM depending on model choice
- **Python 3.8+** for non-Docker installation

## Installation

### Via Smithery (Recommended)
```bash
npx @smithery/cli install invokeai --client claude

Via PyPI

pip install invokeai-mcp-server
claude mcp add --scope user invokeai python -m invokeai_mcp_server

Usage Examples

Generate a Logo

Generate a minimalist tech startup logo with blue gradient, geometric shapes, modern flat design

Apply LoRA Styling

Create a professional logo using the logomkrdsxl LoRA model

Refine an Image

Transform logo.png with strength 0.6 to make it more polished and professional

Upscale for Production

Upscale generated_logo.png to high resolution for print

Configuration

When installed via Smithery, you can optionally configure the InvokeAI URL:

npx @smithery/cli install invokeai --client claude \
	--config '{"invokeaiUrl":"http://192.168.1.100:9090"}'

Default: http://127.0.0.1:9090

Why InvokeAI MCP Server?

- Workflow Integration - Generate assets without context switching
- Production Quality - Professional-grade Stable Diffusion and SDXL models
- Local & Private - Runs on your hardware, no cloud dependencies
- Highly Customizable - LoRAs, VAE overrides, extensive parameters
- Developer Friendly - Built for programmers creating visual assets

Resources

- PyPI Package: https://pypi.org/project/invokeai-mcp-server/
- GitHub Repository: https://github.com/coinstax/invokeai-mcp-server
- InvokeAI: https://invoke.com/invokeai

License

MIT License - © 2025 CoinsTax LLC

## Trust

- **Trust score (0–1):** 0.75
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** version-control
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/coinstax/invokeai-mcp-server)
- **Repository:** <https://github.com/coinstax/invokeai-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "coinstax-invokeai-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/coinstax-invokeai-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/coinstax-invokeai-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt